Build Your Own Text-to-Image Generator Using Python and AI
Have you ever wanted to transform words into stunning, photorealistic images — all with the power of AI? In this tutorial, we’ll show you how to build your own Text-to-Image Generator using Python and the latest Realistic Vision model, completely offline and with no paid API. Whether you're building a portfolio project or just experimenting
- Suitable forB.Tech Python students
- Build time3-4 weeks
- LevelIntermediate
- Available atAjvika Labs, Kakinada
About this project
Have you ever wanted to transform words into stunning, photorealistic images — all with the power of AI? In this tutorial, we’ll show you how to build your own
Text-to-Image Generator
using
Python
and the
latest Realistic Vision model
, completely
offline
and with
no paid API
Whether you're building a portfolio project or just experimenting with AI creativity, this is a must-try.
Project Highlights:
✅
Text-to-image and image-to-image generation
✅ Uses the
latest Realistic Vision V6.0 (v51 Hyper VAE)
✅ 100% Offline – No API keys or internet needed after setup
✅ Supports both GUI (Tkinter) and Web (Flask) interfaces
✅ Generates high-quality 512x512 PNG images
✅ Progress bar, output path display, and download support
Warning: Unfiltered Image Generation
This project uses
unfiltered AI models
and disables the
safety_checker
You may generate
NSFW (Not Safe For Work), violent, or biased content
depending on your prompts.
Use responsibly.
This tool is meant for
educational and research purposes
only.
Always
monitor and moderate outputs
before sharing them publicly.
What is Realistic Vision?
Realistic Vision
is one of the
most popular and powerful Stable Diffusion models
known for its:
Hyper-realistic facial rendering
High detail in skin, lighting, clothing
Outstanding results for both artistic and photographic styles
We're using:
📦
realisticVisionV60B1_v51HyperVAE.safetensors
This version includes
Hyper VAE
for better detail and contrast in generations.
Model Download
Prerequisites
OS: Windows, Linux, or macOS
Python:
3.10.x
(Recommended)
A CUDA-capable GPU (Optional, but highly recommended for faster generation)
At least 8GB RAM (16GB+ preferred for stable performance)
Git (optional, for cloning)
Step 1: Install Python 3.10
If not already installed, download and install Python 3.10 from:
https://www.python.org/downloads/release/python-3100/
During installation, ensure:
"Add Python to PATH" is checked
Step 2: Install Requirements
pip install -r requirements.txt
Step 3: Download the Model File
Download the model file manually:
File:
realisticVisionV60B1_v51HyperVAE.safetensors
Source:
https://civitai.com/models/4201/realistic-vision-v60
Place the file in your project root (same folder as
app.py
or
gui.py
).
Step 4: Run the App
python app.py
Optional if you directly run without Exe file available 4.8 GB
Run EXE Directly – No Setup Needed
Download EXE Version (Includes AI Model)
Just
double-click the EXE file
– no installation required
Works
offline
using your system’s power (no internet or API needed)
Supports
Text to Image
generation
Total Size: ~4.8 GB
Minimum: 8 GB RAM required
for smooth performance
🔗
Download EXE Version
Demo Video
Text-to-Image Generator
using
Python
and the
latest Realistic Vision model
, completely
offline
and with
no paid API
Whether you're building a portfolio project or just experimenting with AI creativity, this is a must-try.
Project Highlights:
✅
Text-to-image and image-to-image generation
✅ Uses the
latest Realistic Vision V6.0 (v51 Hyper VAE)
✅ 100% Offline – No API keys or internet needed after setup
✅ Supports both GUI (Tkinter) and Web (Flask) interfaces
✅ Generates high-quality 512x512 PNG images
✅ Progress bar, output path display, and download support
Warning: Unfiltered Image Generation
This project uses
unfiltered AI models
and disables the
safety_checker
You may generate
NSFW (Not Safe For Work), violent, or biased content
depending on your prompts.
Use responsibly.
This tool is meant for
educational and research purposes
only.
Always
monitor and moderate outputs
before sharing them publicly.
What is Realistic Vision?
Realistic Vision
is one of the
most popular and powerful Stable Diffusion models
known for its:
Hyper-realistic facial rendering
High detail in skin, lighting, clothing
Outstanding results for both artistic and photographic styles
We're using:
📦
realisticVisionV60B1_v51HyperVAE.safetensors
This version includes
Hyper VAE
for better detail and contrast in generations.
Model Download
Prerequisites
OS: Windows, Linux, or macOS
Python:
3.10.x
(Recommended)
A CUDA-capable GPU (Optional, but highly recommended for faster generation)
At least 8GB RAM (16GB+ preferred for stable performance)
Git (optional, for cloning)
Step 1: Install Python 3.10
If not already installed, download and install Python 3.10 from:
https://www.python.org/downloads/release/python-3100/
During installation, ensure:
"Add Python to PATH" is checked
Step 2: Install Requirements
pip install -r requirements.txt
Step 3: Download the Model File
Download the model file manually:
File:
realisticVisionV60B1_v51HyperVAE.safetensors
Source:
https://civitai.com/models/4201/realistic-vision-v60
Place the file in your project root (same folder as
app.py
or
gui.py
).
Step 4: Run the App
python app.py
Optional if you directly run without Exe file available 4.8 GB
Run EXE Directly – No Setup Needed
Download EXE Version (Includes AI Model)
Just
double-click the EXE file
– no installation required
Works
offline
using your system’s power (no internet or API needed)
Supports
Text to Image
generation
Total Size: ~4.8 GB
Minimum: 8 GB RAM required
for smooth performance
🔗
Download EXE Version
Demo Video
Technologies used
What you get
- Working project / hardware kit, tested before delivery
- Complete source code with explanation
- Project demo and guidance for your viva
- Project report, PPT and IEEE paper support (on request)
Delivery & Payment
Delivery takes a minimum of two weeks from the date your inquiry is confirmed.
Payment is in two parts:
• 50% advance to start the project
• Remaining 50% before delivery
Note:
• Documentation and PPT are not included by default
• If you need documentation/PPT, it can be arranged for extra time and cost
We'll confirm the exact timeline and cost with you after reviewing your requirements.